Table 14

Inspiration

Every 1 in 59 children is diagnosed with Autism Spectrum Disorder (ASD) every year. With an estimated 1.4 million cases registered in the year 2018 itself. These children often struggle to recognise facial expressions and are consequently hindered in understanding social cues. Overcoming such problems requires an intensive behavioural therapy which is not only expensive, but also not universally accessible and consistently administered.

What it does

We have therefore decided to develop a system to automate facial expression recognition that runs on a wearable cap and delivers real-time visual (auditory) social cues to the autistic children, with the goal of creating a behavioural aid for these children that maximises behavioural feedback and provides an immersive memorisation, while minimising the distractions to the child.

How I built it

raspberry pi, Movidius Neural Compute Stick, camera, caps - openCV, Python

Challenges I ran into

lack of friendship with time, limited opportunity to explore Bremen, no cultural events and opera.

Accomplishments that I'm proud of

using Movidius for the first time, learning about El Salvador, and about the secret recipe of Pupusa

What I learned

have openCV installed before, GitHub commands, Raspi management

What's next for CuedIn

Complete 2.0 Version with a targeted Amazon partnership

Built With

Share this project:
×

Updates